Amazon CloudWatch is a native AWS monitoring tool for AWS programs. It provides data collection and resource monitoring capabilities.
$0
per canary run
Splunk AppDynamics
Score 8.3 out of 10
N/A
AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.
N/A
Pricing
Amazon CloudWatch
Splunk AppDynamics
Editions & Modules
Canaries
$0.0012
per canary run
Logs - Analyze (Logs Insights queries)
$0.005
per GB of data scanned
Over 1,000,000 Metrics
$0.02
per month
Contributor Insights - Matched Log Events
$0.02
per month per one million log events that match the rule
Logs - Store (Archival)
$0.03
per GB
Next 750,000 Metrics
$0.05
per month
Next 240,000 Metrics
$0.10
per month
Alarm - Standard Resolution (60 Sec)
$0.10
per month per alarm metric
First 10,000 Metrics
$0.30
per month
Alarm - High Resolution (10 Sec)
$0.30
per month per alarm metric
Alarm - Composite
$0.50
per month per alarm
Logs - Collect (Data Ingestion)
$0.50
per GB
Contributor Insights
$0.50
per month per rule
Events - Custom
$1.00
per million events
Events - Cross-account
$1.00
per million events
CloudWatch RUM
$1
per 100k events
Dashboard
$3.00
per month per dashboard
CloudWatch Evidently - Events
$5
per 1 million events
CloudWatch Evidently - Analysis Units
$7.50
per 1 million analysis units
No answers on this topic
Offerings
Pricing Offerings
Amazon CloudWatch
Splunk AppDynamics
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
With Amazon CloudWatch, there is no up-front commitment or minimum fee; you simply pay for what you use. You will be charged at the end of the month for your usage.
Unfortunately, I wasn't in the company when the decision was made, hence can tell just because. What I can tell from my experience, it was not a bad choice and alternatives like New Relic or Datadog provide more or less similar functionality. In most cases the main reasons are …
Features
Amazon CloudWatch
Splunk AppDynamics
Application Performance Management
Comparison of Application Performance Management features of Product A and Product B
For out business we find that AWS Cloudwatch is good at providing real-time metrics for monitoring and analysing the performance and usage of our platform by customers. It is possible to create custom metrics from log events, such people adding items to a basket, checking out or abandoning their orders.
Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.
It provides lot many out of the box dashboard to observe the health and usage of your cloud deployments. Few examples are CPU usage, Disk read/write, Network in/out etc.
It is possible to stream CloudWatch log data to Amazon Elasticsearch to process them almost real time.
If you have setup your code pipeline and wants to see the status, CloudWatch really helps. It can trigger lambda function when certain cloudWatch event happens and lambda can store the data to S3 or Athena which Quicksight can represent.
AppDynamics delves deeply into traceability and profiling at the code level. By identifying and refactoring any hidden performance hogs in our code, we can directly observe the performance improvements.
AppDynamics provides real-time dashboards and in-depth insights into each layer of the application stack, lifting the curtain on performance.
AppDynamics gives us the ability to proactively detect and resolve performance issues. We are able to keep things running smoothly for our users and stop outages.
We can monitor stability and performance prior to, during, and following releases with AppDynamics, which helps to minimize regression risks and facilitate smooth rollouts.
Memory metrics on EC2 are not available on CloudWatch. Depending on workloads if we need visibility on memory metrics we use Solarwinds Orion with the agent installed. For scalable workloads, this involves customization of images being used.
Visualization out of the box. But this can easily be addressed with other solutions such as Grafana.
By design, this is only used for AWS workloads so depending on your environment cannot be used as an all in one solution for your monitoring.
Improving the clarity and comprehensiveness of the documentation could benefit users. Clearer documentation ensures that users can make the most of all the functionalities
Leverages AI and machine learning for intelligent insights, aiding in issue identification and prediction.
Competitive, with AI-driven features becoming increasingly common in APM solutions.
On a scale of 1 to 10, I would rate our likelihood to renew Splunk AppDynamics as a 10. Our leadership is fully committed to the State of Indiana’s Application Performance Monitoring (APM) Program, which has become a national leader within the SLED (State, Local, and Education) vertical. AppDynamics plays a critical role in our ability to deliver reliable, high-performing digital services to citizens and stakeholders. Its capabilities align closely with our strategic goals around operational excellence, proactive incident management, and data-driven decision-making, making it an indispensable part of our technology ecosystem.
It's excellent at collecting logs. It's easy to set up. The viewing & querying part could be much better, though. The query syntax takes some time to get used to, & the examples are not helpful. Also, while being great, Log Insights requires manual picking of log streams to query across every time.
Actually, I would like to give it a score of 10 out of 10, but taking into account certain factors such as: the cost of the annual licence, the complexity of installation and configuration, the blurring of setting Splunk AppDynamics over the cloud and especially OpenShift since we use it as a container platform. So, 8 out of 10 looks perfect for it
On a scale of 1 to 10, I would rate the availability of Splunk AppDynamics as a 9. Overall, the platform has proven to be highly reliable and is available when we need it. It consistently supports our monitoring and performance management needs across critical applications and infrastructure. There have been occasional issues with platform availability, such as intermittent application errors or brief unplanned outages. However, these instances have been infrequent and typically resolved quickly, minimizing any significant impact on operations. The stability and uptime of the platform have met our expectations, and we continue to rely on it as a core component of our APM strategy.
On a scale of 1 to 10, I would rate the performance of Splunk AppDynamics as a 6. While the platform generally delivers the expected functionality, we’ve experienced periodic slowness—particularly with page loads and report generation. These performance issues can be frustrating, especially when trying to quickly access critical data during incident response or analysis. One contributing factor may be our use of a shared controller environment with other enterprises, which can introduce resource contention and impact overall responsiveness. In some cases, this has led to delays in accessing dashboards or completing complex queries. Despite these challenges, the platform remains a valuable tool, and we’re exploring options to improve performance, including potential changes to our deployment model and support agreements.
Support is effective, and we were able to get any problems that we couldn't get solved through community discussion forums solved for us by the AWS support team. For example, we were assisted in one instance where we were not sure about the best metrics to use in order to optimize an auto-scaling group on EC2. The support team was able to look at our metrics and give a useful recommendation on which metrics to use.
AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.
On a scale of 1 to 10, I would rate the online training for Splunk AppDynamics as a 7. The training was generally acceptable and covered the core concepts and functionality of the platform. However, there were some challenges with communication during sessions—particularly around clarity and instructor engagement—which occasionally made it difficult to fully grasp certain topics. Additionally, the training could benefit from being more focused and tailored to specific roles or use cases. A more structured approach with clearer learning paths and practical, hands-on examples would enhance the overall effectiveness and help users apply the knowledge more confidently in real-world scenarios.
On a scale of 1 to 10, I would rate our satisfaction with the implementation of Splunk AppDynamics as a 9. The deployment process was smooth and well-coordinated, thanks to the collaborative efforts between Cisco Professional Services, our internal business stakeholders, and agency technical teams. Key Insights from the Implementation: Cross-functional Collaboration Was Critical: Engaging both technical and business teams early in the process ensured that the platform was configured to meet a wide range of operational and strategic needs. Value of Expert Guidance: Cisco’s Professional Services provided invaluable expertise, helping us navigate complex configurations and tailor the solution to our environment. Their involvement accelerated deployment and ensured best practices were followed. Importance of Planning and Communication: A well-defined implementation roadmap and regular communication across teams helped us stay aligned, manage expectations, and address challenges proactively. Scalable Architecture: We designed the implementation with scalability in mind, allowing us to expand usage across agencies and applications without major rework. Overall, the implementation laid a strong foundation for our APM program and positioned us for long-term success.
Grafana is definitely a lot better and flexible in comparison with Amazon CloudWatch for visualisation, as it offers much more options and is versatile. VictoriaMetrics and Prometheus are time-series databases which can do almost everything cloudwatch can do in a better and cheaper way. Integrating Grafana with them will make it more capable Elasticsearch for log retention and querying will surpass cloudwatch log monitoring in both performance and speed
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
While the overall value of the Splunk AppDynamics platforms is strong, the pricing structure and contract terms can be complex and difficult to navigate. Unit pricing, licensing tiers, and billing frequency are not always intuitive, which can make it challenging to align purchases with the State’s evolving needs. I rely heavily on our Account Manager to help interpret and tailor the licensing model to our specific requirements. Their support has been invaluable in ensuring we make informed decisions. The most impactful change would be to simplify the licensing and pricing model. Clearer documentation, more transparent pricing tiers, and streamlined purchasing processes would significantly improve the experience and reduce administrative overhead.
On a scale of 1 to 10, I would rate the overall scalability of Splunk AppDynamics as a 7. The platform is designed to support enterprise-wide deployments across multiple departments and sites, and it performs well in large-scale environments. Its architecture allows for horizontal scaling and supports a wide range of application types and infrastructures. However, the agent management and deployment process can be complex and time-consuming, especially when onboarding a large number of applications or systems. Coordinating agent installation, configuration, and updates across diverse environments requires careful planning and often significant manual effort. Streamlining these processes—perhaps through more centralized management tools or automation—would enhance scalability and reduce operational overhead. Despite these challenges, once deployed, AppDynamics scales effectively and provides consistent performance and visibility across the enterprise.
Our experience with the professional services team supporting Splunk AppDynamics has been exceptional. They demonstrated deep technical expertise, strong collaboration skills, and a clear understanding of our business objectives. Their guidance was instrumental in the successful implementation of our APM program and platform integration. The rating of 9 reflects our high level of satisfaction, with a small margin left to acknowledge that continuous improvement is always possible. Overall, their support has been a key factor in the success of our deployment.
AppDynamics has played a pivotal role in optimizing our applications for a seamless user experience. The proactive monitoring and quick issue resolution have translated into improved user satisfaction and increased retention rates.
The initial cost and effort associated with implementing AppDynamics might be considered a negative impact, particularly for organizations with budget constraints. However, the long-term benefits have justified this initial investment.
